Recommendations for conducting ethical network research
Datos Bibliográficos
| ID | 21875396 |
|---|---|
| Autores | Francisca Ortiz-Ruiz (0000-0001-8538-4688, Millennium Science Initiative), P Tubaro (0000-0002-1215-9145, Centre de Recherche en Économie et Statistique), J L Molina (0000-0002-2932-2690, Universitat Autonòma de Barcelona), J W Neal (0000-0002-7749-8121, Michigan State University), R Vacca (0000-0001-9908-3747, University of Milan), Jana Diesner (0000-0001-8183-7109, Technical University of Munich), J Adams (0000-0001-5043-1149, University of South Carolina), M Birkett (0000-0003-0960-6327, Center for Social Sciences), Jenny Godley (0000-0002-0421-2559, University of Calgary), Juniper Lovato (University of Vermont), Michael Schönhuth (Universität Trier), Laura Teves (0000-0003-0806-4271, Universidad Nacional de La Plata), Michael Zimmer (0000-0003-4229-4847, Marquette University) |
| Año | 2026 |
| Volumen | 14 |
| Fecha de publicación | 2026-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Network Science (JOURNAL) |
| Identificadores de la revista | ISSN: 2050-1250 • E-ISSN: 2050-1242 |
| Editorial | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/nws.2026.10034 |
| OpenAlex | W7167031318 |
| Idioma | EN |
| Referencias citadas | 30 |
Ethical considerations in social network studies are grounded in the general principles of human subjects’ research, including avoidance of harm, promotion of justice, equitable distribution of burdens and benefits, respect for human dignity, and protection of confidentiality. To help navigate these challenges, this article presents recommendations for conducting ethical network research, developed by a multi-disciplinary and multi-national working group. The article is divided in three main sections where there are certain recommendations identified for each one of them: data collections, use, and availability. Discovering how others addressed and solved problems can be a way for all of us to improve our capacity to stand up to the scrutiny of ethical governance bodies, while also increasing our capacity to responsibly address novel, rare, or otherwise difficult situations for which institutions provide limited guidance. We see this as a first step toward a virtuous circle, or a form of “generalized indirect reciprocity” whereby researchers share information that may be relevant for others, and benefit at the same time from the information given by other members of the social networks analysis community. Our goal is to continue to produce and promote scientifically solid, ethical social network research
Corporate governance · Ethical issues · Network governance · Scrutiny · Complex Network Analysis Techniques · HIV, Drug Use, Sexual Risk · Qualitative Research Methods and Ethics
Doing Social Network Research
Datasheets for datasets
The Care Principles for Indigenous Data Governance
Implementation of a computer-assisted face-to-face intervention for mapping the social support networks of patients with severe mental illness in routine clinical practice
The Swiss StudentLife Study
Whose results are these anyway? Reciprocity and the ethics of “giving back” after social network research
Order of recall and meaning of closeness in collecting affective network data
The presentation of the networked self
Using social network analysis to study crime
Moral bureaucracies and social network research
Introduction to special issue
Toward ethical guidelines for network research in organizations
Who benefits from network analysis
Social network research and human subjects protection
Social network analysis
Re-evaluating standards of human subjects protection for sensitive health data in social media networks
Recommendations for sharing network data and materials
Cases, Mechanisms and the Real
Visualizing Personal Networks
Trust, quality, and the network collection experience
Lost in translation
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |